Training a PINN directly on CT sinogram data estimates simulated cardiovascular flow more accurately than training on filtered-backprojection images.
Low dose threshold for measuring cardiac functional metrics using four-dimensional CT with deep learning,
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Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Simulation Study
Training a PINN directly on CT sinogram data estimates simulated cardiovascular flow more accurately than training on filtered-backprojection images.